G. Grimaud

A Two-Stage ESM-Based Machine Learning Pipeline for Robust Hierarchical Enzyme Function Prediction

Results support the use of pretrained protein language model embeddings as an effective foundation for enzyme annotation by combining large-scale sequence representations with a lightweight supervised classifier and may facilitate functional annotation of protein sequences derived from large genomic and metagenomic datasets.